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Tier-1 brand, Bangalore location, mid-level generalist AI/backend role drives high applicant competition.
Specialized LLM integration and backend ML deployment skills are transferable but require domain expertise.
Explicit 3–6 years plus 2+ years AI specialization and specific tech stack enforces strict screening.
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Design, build, and deploy high-scale backend AI services integrating Large Language Models (LLMs), Agentic AI, and optimized Retrieval-Augmented Generation (RAG) pipelines.
Develop and maintain scalable, asynchronous distributed backend systems and microservices using Python frameworks such as FastAPI, Flask, or Django.
Deploy AI models to production using containerization (Docker, Kubernetes) and cloud platforms (Azure/AWS/GCP), ensuring performance optimization and scalability.
3-6 years of professional backend development experience, with at least 2 years specialized in AI/ML applications.
Expert proficiency in Python and experience with Python backend frameworks (FastAPI, Flask, Django).
Hands-on experience with LLM-related AI frameworks such as LangChain, LlamaIndex, Hugging Face, PyTorch, or TensorFlow.
Work Experience Required: 3 to 6 years; Location: Bengaluru; Notice Period: Not explicitly mentioned in the JD.
Experienced backend engineer with a strong focus on AI/ML production systems and LLM integration.
Skilled in designing scalable asynchronous distributed systems and managing data pipelines for AI model training and serving.
Demonstrates technical leadership in cross-functional teams including frontend, data science, and ML engineering for AI-enabled product development.